We have a project with 280k stories and we want to train a basic Keras policy in Rasa Core with it.
It takes two hours to load the stories and around 150 GB of RAM. We noticed that the loading is performed on a single core.
Is there any plan to move to multiple cores to accelerate this process?
Is it a python limitation with the use of
Thanks, L-P and the Dialogue Team